This role is responsible for designing and developing advanced AI/ML solutions to solve complex business problems. The role applies deep technical expertise to build scalable models, data pipelines, and intelligent systems, while ensuring consistency, quality, and alignment with enterprise standards.
- Designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical problems
- Representing the team in cross-functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation
- Developing and maintaining scalable data pipelines and ML workflows across modern data platforms (e.g., cloud-based environments, distributed processing systems)
- Building complex AI-driven solutions using organizational and third-party technologies, independently implementing end-to-end pipelines from data ingestion to deployment
- Integrating technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes
- Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline
- Nice to have: Microsoft Azure AI Engineer Associate / Data Scientist Associate
- Nice to have: Databricks or equivalent platform certifications
